{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236008","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236008","title":["機械学習を利用した対局型ゲームのレーティング手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"b37b3f69-9bdc-46fb-b9ca-d4aba4297e37"},"_deposit":{"id":"236008","pid":{"type":"depid","value":"236008","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"機械学習を利用した対局型ゲームのレーティング手法","author_link":["644975","644974"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"機械学習を利用した対局型ゲームのレーティング手法"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"法大"},{"subitem_text_value":"法大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/236008/files/IPSJ-Z86-6Q-05.pdf","label":"IPSJ-Z86-6Q-05.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-6Q-05.pdf","filesize":[{"value":"718.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"dbdf8541-7625-4f19-8457-a89447ce4f6c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"島貫, 凌世"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"細部, 博史"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Eloレーティングは，オセロやチェス，将棋など対局型ゲームの実力の評価指標として幅広く利用されている．しかし，実力のあるプレイヤーが新規参入した際，Eloレーティングの変動定数が固定値であることにより適切なレーティング値に収束するまで時間がかかる問題がある  ．本研究では特にオセロを対象として，機械学習を用いてプレイヤーのレーティング値をより早く適切な値に収束させる方法を提案する．実際のプレイヤーの棋譜とEloレーティング値からレーティング値の予測に適切な特徴量を調査し，棋譜から実際の実力に近いレーティング値を予測する学習モデルを作成する．実験では学習モデルによる収束速度増加を目指す．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"330","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"329","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236008,"updated":"2025-01-19T09:25:54.281072+00:00","links":{},"created":"2025-01-19T01:37:49.649399+00:00"}